On a third stage, the approach to resolve the problem finally focused in the use of Artificial Neural Networks (ANN). Zapata et al.[1]} presented an automatic inspection system for welding radiographic images. On a first step, image preprocess was used to improve contrast and reduce noise in order to apply feature extraction to identify the welding region and defects segmentation. On a latter stage, such features were subject to a Principal Component Analysis (PCA) as a way to reduce dimensionality and eliminate redundancy and introduced on an ANN where they introduced a regularisation process to improve the performance of the classification stage. Mery et al. [2]} explored several computer vision techniques on GDXray dataset [3]} including Local Binary Patterns (LBP) combined with linear Support Vector Machines (SVM) as classifier.
